AI Engineering Intern - Fall 2026

				Overview:

Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries.

Responsibilities:

* Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes;
* Research, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems;
* Research, develop, and implement AI tools such as NLP, LLM, and IA;
* Collect, preprocess, and curate large datasets required for training generative models;
* Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning;
* Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature engineering, model selection, and hyperparameter tuning; and
* Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments.

Qualifications:

* Pursuing a Master's or PhD in Artificial Intelligence, Computer or Data Science, or related field. 
* Available to work 40 hours per week in our Cincinnati, OH office. Preference for those currently in or from Cincinnati;
* 5 GPA or higher;
* Class or internship experience implementing and fine-tuning Large Language Models or interactive AI applications;
* Proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch);
* Experience working with different AI capabilities and ability to showcase your passion for the utilization of AI;
			

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Medpace, Inc.

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